Abstract
Utilizing a simple fluidic structure, we demonstrate the improved performance of oxidase-Based enzymatic biosensors. Electrolysis of water is utilized to generate bubbles to manipulate the oxygen microenvironment close to the biosensor in a fluidic channel. for the proper enzyme reactions to occur, a simple mechanical procedure of manipulating bubbles was developed to maximize the oxygen level while minimizing the pH change after electrolysis. the sensors show improved sensitivities based on the oxygen dependency of enzyme reaction. in addition, this oxygen-rich operation minimizes the ratio of electrochemical interference signal by ascorbic acid during sensor operation (i.e., amperometric detection of hydrogen peroxide). Although creatinine sensors have been used as the model system in this study, this method is applicable to many other biosensors that can use oxidase enzymes (e.g., glucose, alcohol, phenol, etc.) to implement a viable component for in-line fluidic sensor systems. © 2012 by the authors; licensee MDPI, Basel, Switzerland.
Recommended Citation
N. Radhakrishnan et al., "An Oxidase-Based Electrochemical Fluidic Sensor with High-sensitivity and Low-interference by On-chip Oxygen Manipulation," Sensors (Switzerland), vol. 12, no. 7, pp. 8955 - 8965, MDPI, Jul 2012.
The definitive version is available at https://doi.org/10.3390/s120708955
Department(s)
Electrical and Computer Engineering
Second Department
Chemical and Biochemical Engineering
Publication Status
Open Access
Keywords and Phrases
Biosensor; Bubble; Electrolysis; Hydrogen; Oxidase; Oxygen
International Standard Serial Number (ISSN)
1424-8220
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jul 2012
PubMed ID
23012527
Included in
Biochemical and Biomolecular Engineering Commons, Electrical and Computer Engineering Commons
Comments
National Institute of Biomedical Imaging and Bioengineering, Grant R15EB006611